Activity Number:
|
240
- Computationally Intensive Methods for Estimation and Inference
|
Type:
|
Contributed
|
Date/Time:
|
Monday, July 31, 2017 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistical Computing
|
Abstract #324257
|
|
Title:
|
A Missing Technique for Estimating Univariate Multiple Missing Values-An Advanced Re-sampling Method for Correlated Observations
|
Author(s):
|
Silvia Sharna* and Mian Adnan and Rahmatullah Imon
|
Companies:
|
Ball State University and Ball State University and Ball State University
|
Keywords:
|
Average Log Likelihood Function ;
Combination ;
Dummy Missing Value ;
Likelihood Rate ;
Simple Random Sample
|
Abstract:
|
Since a missing value resembles not only an unknown data of an unknown probability distribution but also their unknown characteristics, it is better to construct a basket of characteristics based on assumed missing values. The missing technique, as demonstrated by Sharna et al (2016), is a kind of check and balance method for estimating a missing value. In this paper we offer an extended version of the iterative estimation method for more than one missing value. This paper also demonstrates a resampling method for generating 1 or 2 correlated observations from the same distribution from where the original sample is drawn.
|
Authors who are presenting talks have a * after their name.